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Stupa Sports Analytics - Computer Vision Engineer - Camera Calibration

Posted on: 15/12/2025

Job Description

About Us :

Stupa builds cutting-edge AI for real-time sports intelligence ; automated commentary, player tracking, non-contact biomechanics, ball trajectory, LED graphics, and broadcast-grade stats. Your models will be seen live by millions across global events.

Global Travel :

Work that literally travels the world. You'll deploy systems at international tournaments across Asia, Europe, and the Middle East, working inside world-class stadiums, courts, and TV production rooms.

What You'll Build :

AI Language Products :

- Automated live commentary (LLM + ASR + OCR), real-time subtitles, AI storytelling.

- Non-Contact Measurement (CV + Tracking + Pose Estimation)

- Player velocity, footwork, shot recognition, 2D/3D reconstruction, real-time edge inference.

- End-to-End Streaming Pipelines

- Temporal segmentation, multi-modal fusion, low-latency edge + cloud deployment.

What You'll Do :

Train and optimise ML/CV/NLP models for live sports, build tracking & pose pipelines, create LLM/ASR-based commentary systems, deploy on edge/cloud, ship rapid POCs- production, manage datasets & accuracy, and collaborate with product, engineering, and broadcast teams.

Requirements :

Core Skill s:

- Strong ML fundamentals (NLP/CV/multimodal)

- PyTorch/TensorFlow, transformers, ASR or pose estimation

- Data pipelines, optimisation, evaluation

- Deployment (Docker, ONNX, TensorRT, FastAPI, K8s, edge GPU)

- Strong Python engineering

Bonus: Sports analytics, LLM fine-tuning, low-latency optimisation, prior production ML systems.

Why Join Us :

- Your models go LIVE in global sports broadcasts

- International travel for tournaments

- High ownership, zero bureaucracy

- Build India's most advanced AI Sports product

- Cool, futuristic problems + freedom to innovate

- Up to - 40LPA for exceptional talent

You Belong Here If You : Build what the world hasn't seen - Want impact on live sports - Thrive in fast-paced ownership-driven environments.

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